Why the concepts of cohesion and coupling from 1974's structured design and the SOLID principles remain the core of software design 50 years later, examined through papers and empirical data.
From FP32 to INT4, a technical breakdown of LLM compression principles and practical implementation.
Gemini 3.1 Pro's reasoning revolution, DeepSeek V4's challenge, Anthropic's $30B investment, AI-discovered zero-days, and agent security controversies.
A comprehensive breakdown of Alibaba's Qwen 3.5-397B model covering specs, benchmarks, VRAM requirements, usage, and community reactions.
From vLLM, SGLang, TensorRT-LLM to llama.cpp, Ollama. Paper-level analysis of core technologies, benchmarks, and pros/cons of 18 production LLM serving tools.
AI agents have become hacking weapons. 87% success rate prompt injections, 824 malicious ClawHub skills — the reality of the 2026 AI security crisis.
Comprehensive 2026 ChatGPT vs Claude comparison covering pricing, benchmarks, Codex vs Claude Code, Cowork, and APIs from a practical perspective.
Real-world prompts and workflows learned from the experience of getting low-quality penalties while using ChatGPT for blog writing.
From Copilot Free to Cursor, Cline, and Claude Code — comparing real-world performance and limitations of 7 free AI coding tools in 2026.
What happens when you run Codex, Claude Code, and Gemini on code reviews simultaneously? Results and practical tips from deploying 3 AIs in parallel with GitHub Agent HQ.